Sifflet is the leading data observability platform that delivers data trust at scale for analytics and AI initiatives by bridging the gap between technical and business users.  Global customers like the Penguin Random House, Carrefour, Auchan, CMA CGM and Adaptavist rely on Sifflet to reach and maintain high levels of data quality and reliability needed for business critical analytics and AI.  Sifflet is a best-in-class data observability solution for the entire organization, ranked Best estimated ROI and Fastest implementation by G2 users. 

Sifflet, the AI-augmented data observability platform built for data teams with business users in mind.

As 2025 approaches, data observability is rapidly gaining momentum in the market, with most companies recognizing the critical role of reliable data in the success of AI and data projects. However, this realization brings a host of questions: How do you begin implementing holistic data observability? When is the right time to start? What tech stack is necessary to make it work? How can you ensure your teams adopt it effectively? And how do you measure and demonstrate its impact? Salma Bakouk will highlight key trends that can guide you in scaling data observability successfully.
